Download and install the latest version of Filestar.
Right click on one or more Ani file(s) on your desktop and select Convert with Filestar.
Type convert to hdru in the search box.
Press Convert.
Or let an AI agent do it: filestarcli -i file.ani -c "convert to hdru" (how).
Documents - File Explorer─☐✕
This PC › Documents
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Desktop
Downloads
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.aniContract.ani
.xlsxBudget.xlsx
.pdfReport.pdf
.pngLogo.png
Filestar*Help✕
Drop files here to get started
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Let your AI agent convert ANI to HDRU
Claude Code, Codex, Cursor and other agents can do this on your computer with Filestar. Your files stay on your machine.
Install Filestar and add it to your agents:
npm install -g filestar
filestarcli agent install
Then ask your agent:
“Convert the ANI files in my Downloads folder to HDRU”
Or run it yourself:
filestarcli -i file.ani -c "convert to hdru"
Runs on your computer, so your files stay on it. Works on Windows, macOS and Linux. 50 free conversions with the npm install, no account needed.
Can my AI agent convert ANI to HDRU?
Yes. Install the Filestar CLI with npm install -g filestar and your agent can run filestarcli -i file.ani -c "convert to hdru" on your computer, so your files stay on it.
Ani files are Windows Animated Cursor files that are used for displaying custom animated mouse cursors in the Windows operating system. They are similar to animated GIFs and can be created with various image editing programs.
The Apollo HDRU (High Dynamic Range Image) file type, with the extension .hdru, is a specific format used for storing high dynamic range (HDR) images. These files are designed to capture a broader range of brightness and color levels than standard digital imaging formats, allowing for more detailed and realistic representations of scenes with significant contrasts in lighting. The Apollo HDRU format is particularly used within the realm of digital photography, computer graphics, and advanced imaging applications where capturing the fullest possible range of light information is crucial. This format helps in preserving the quality of images for professional editing, rendering, and display purposes, ensuring that details in both the brightest and darkest areas of a photo are maintained.
